SGER: Automated Shape Composition Via Genetic Programming

SGER：通过遗传编程自动组合形状

• 批准号: 0636323
• 负责人: David Breen
• 金额: $ 7.5万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2008-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0636323&HistoricalAwards=false
• 关键词: SGER; Automated; Shape; Composition; Via

This SGER project focuses on a challenging, novel and important research topic. The project builds upon, extends and combines technologies from two disparate disciplines (study of cell kinetics and genetic programming) to formalize and implement the algorithmic constructs of geometric self-organization.Focusing effort on a project at the intersection of biology, engineering and computer science will advance theemerging field of bio-computing. The importance of achieving this technical goal is highlighted by the numberof applications that can benefit from harnessing the power of self-organization (Chemotaxis Simulation, Tissue Engineering, Computer-Aided Geometric Design and Swarm Robotics). The PI is an accomplished researcher who has training in both the physical and computing sciences with specific expertise in simulations based on locally-interacting microstructures, as well as experience in managing large long-term collaborative projects.The project has access to the substantial computing and human resources needed for its successful execution This proposal describes a multi-disciplinary project that brings together activities in computational biology, geometric modeling and evolutionary computing. SGER support will allow the PI to assess the feasibility of combining chemotaxis simulation with genetic programming in order to produce biology-inspired geometric modeling technologies. It will create a diverse team of students and faculty to conduct research at a unique technical junction. It will foster new avenues of research that incorporate concepts from cellular biological systems into computational solutions and algorithms. The project's outreach program builds upon established partnerships with Philadelphia inner-city schools and will expose under-represented minorities to the latest trends in computing and biology. The goal of the program is to inspire young students to become involved in the newly developing field of bio-computing. The PI has a strong track record of involving women and minorities in his research. This commitment will be sustained within this project. The project will reach out to build strong collaborations between groups within Drexel University's College of Engineering, School of Biomedical Engineering and College of Medicine, creating new scholarly synergies. The results will be disseminated widely through publications and conference presentations, web material, and outreach activities to the community. Given the application of Morphogenic Primitives to tissue engineering, robotics, sensor networks and computational biology, they promise to provide substantial societal benefits in the areas of engineering, medicine, health care and the basic biological sciences, as well as launch a new approach to geometric computeraided design.

这个SGER项目着重于一个具有挑战性，新颖和重要的研究主题。该项目建立在，扩展并结合了从两个不同学科（细胞动力学和遗传编程的研究）形式化和实施几何自我组织的算法结构的技术。在生物学，工程和计算机科学的交叉点上进行项目的努力将推动Bio-Computing的Theemering Theemerging领域。实现这一技术目标的重要性是通过利用自我组织力量（趋化性模拟，组织工程，计算机辅助几何设计和群体机器人技术）的应用来强调的。 PI是一位有成就的研究人员，他在基于本地关联的微观结构中具有特定的模拟中的特定专业知识进行了培训，并且在管理大型长期协作项目方面的经验。该项目可以访问其成功执行此计划所需的实质性计算和人力资源，以构成一项多学科项目的计算模型，并将其整合到计算机上。 SGER支持将使PI能够评估将趋化性模拟与遗传编程结合起来的可行性，以生成生物学启发的几何建模技术。它将创建一个多样化的学生和教职员工，以在独特的技术交界处进行研究。它将促进研究的新途径，将细胞生物系统的概念纳入计算解决方案和算法。该项目的外展计划建立在与费城内城学校建立的合作伙伴关系的基础上，并将使代表性不足的少数群体接触到计算和生物学的最新趋势。该计划的目的是激发年轻学生参与新发展的生物计算领域。 PI在他的研究中涉及妇女和少数群体的记录有很强的记录。这项承诺将在该项目中维持。该项目将接触，以在德雷克塞尔大学工程学院，生物医学工程学院和医学院之间建立强大的合作，创造了新的学术协同作用。结果将通过出版物和会议演讲，网络材料以及向社区的外展活动进行广泛传播。鉴于形态学原始素在组织工程，机器人技术，传感器网络和计算生物学上的应用，他们有望在工程，医学，医疗保健和基本的生物科学领域提供可观的社会利益，并为几何计算机辅助设计提供了新的方法。